cast()

Core Math

cast() is a MATLAB®-compatible core math function for generic type conversion with saturating semantics. 'type' must be one of: 'int8', 'int16', 'int32', 'int64', 'uint8', 'uint16', 'uint32', 'uint64', 'single', 'double', 'logical'. Run it online in your browser with SimLab — free, no install, no license required.

Generic type conversion with saturating semantics. 'type' must be one of: 'int8', 'int16', 'int32', 'int64', 'uint8', 'uint16', 'uint32', 'uint64', 'single', 'double', 'logical'.

Syntax

cast(x, 'type')

Examples — run cast() in your browser

cast(200, 'uint8')
▶ Run
cast(300, 'int8')
▶ Run
cast(3.7, 'int32')
▶ Run

Limitations

Type-preserving arithmetic (int8 + int8 → int8) is a Tier-D follow-up; arithmetic currently returns plain double.

See Also

More Core Math Functions

Browse other free, MATLAB®-compatible core math functions in SimLab:

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Frequently Asked Questions about cast()

Is the cast() function free to use in SimLab?

The browser workspace requires no MATLAB® license or installation. Connected features require network access and may have account, tier, availability, or usage limits. You can open cast() and 510+ other MATLAB®-compatible function references at simulations4all.com/simlab.

Do I need to install MATLAB to use cast()?

No. SimLab’s core parser, workspace state, and most functions run locally in your browser. The cast() function requires no MATLAB® license or desktop software download.

What does cast() do?

Generic type conversion with saturating semantics. 'type' must be one of: 'int8', 'int16', 'int32', 'int64', 'uint8', 'uint16', 'uint32', 'uint64', 'single', 'double', 'logical'. It is a MATLAB®-compatible core math function available in SimLab with the same calling syntax as MATLAB® — typically: cast(x, 'type').

Can I run cast() in my browser?

Yes. Open SimLab at simulations4all.com/simlab, write or paste code that calls cast(), and run it. This function’s calculation runs locally in the browser. SimLab session analytics, sharing, feedback, and eligible acceleration have separate network boundaries.

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